Spam ; Bayesian Classifying Method ; Vector Space Model ; Naive Bayesian Method

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A new fusing facial feature recognition algorithm based on kernel Canonical Correlation Analysis was proposed,for mapping image data into feature space and improving classifying accuracy.

為了更有效地映射圖像數(shù)據(jù)樣本到可分類特征空間久久伊人av无码毛片，提高分類正確率欧美一级特黄大片色欧美精，提出了一種新的基于核函數(shù)的典型相關(guān)分析的融合人臉識(shí)別算法。

Using the diagnosis method of IEUNIM, the initial multi-weights are gained by classifying the space of fault character and the identification of network is improved greatly by using K-means Clustering.

在IEUNIM故障診斷方法中影音先锋zyz，用K均值法劃分故障信息特征空間形成了多初始權(quán)重值www.zxdwt.com，并采用改進(jìn)型橢球神經(jīng)網(wǎng)絡(luò)，大大提高了網(wǎng)絡(luò)的故障辨識(shí)能力深夜A级毛片五月综合婷香久久。

It compares the vector space model andthe sentence space model in classifying the same document with the recall and the precision from different granularity, word granularity andsentence granularity.

比較了從詞69欧美视频、句子兩個(gè)不同粒度對(duì)文檔進(jìn)行表示的向量空間模型和句子空間模型在對(duì)同一問題進(jìn)行分類時(shí)的召回率和準(zhǔn)確率。

At last, we also give the classifying theorem of ideal semi-parallel immersiohs in an Euclidean space with flat normal bundles.

最后對(duì)于歐氏空間中法叢平坦的理想半平行浸入国产一区免费视频，我們也得到了完全的分類定理视频一区图片一区另类。

At last, we also give the classifying theorem of ideal semi-parallel immersions in an Euclidean space with flat normal bundles.

最后對(duì)于歐氏空間中法叢平坦的理想半平行浸入，我們也得到了完全的分類定理黄色一二区在线播放。

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